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Senior Machine Learning Researcher Jobs in Wisconsin

Autodesk

$101.30K - $138.60K/yr

Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the systems that enable machine learning across research and product development. You will help build the ...

Usyd

$89.83K - $121.05K/yr

Working collaboratively, these two researchers will accelerate research in applied machine learning ... to ultimately identify the molecular biosignatures of patients with silent atherosclerosis, and the ...

New

U.S. Venture, Inc.

Senior AI Engineer

Green Bay, WI · On-site

$101.60K - $139.60K/yr

This is not a research role. We ship. But the people who thrive here think deeply about how agents ... JOB RESPONSIBILITIES Generative AI and Machine Learning Development: * Implement and integrate ...

Us Venture

Senior AI Engineer

Green Bay, WI · On-site

$101.60K - $139.60K/yr

This is not a research role. We ship. But the people who thrive here think deeply about how agents ... JOB RESPONSIBILITIES Generative AI and Machine Learning Development: * Implement and integrate ...

Sprinklr

Work with leaders, product engineers and user experience researchers to understand customer data ... Masters or PhD in a field that is emphasized in building and maintaining machine learning models ...

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Senior Machine Learning Researcher information

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Researcher, and why are they important?

To thrive as a Senior Machine Learning Researcher, you need advanced knowledge in machine learning algorithms, statistical analysis, programming (typically in Python), and a relevant advanced degree such as a PhD or Master's in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, as well as familiarity with cloud computing platforms and research publication, is often required. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and present complex ideas clearly. These skills and qualities are essential for driving innovation, developing robust models, and translating research into practical, impactful solutions.

What opportunities for collaboration typically exist for Senior Machine Learning Researchers within a company?

Senior Machine Learning Researchers frequently collaborate with cross-functional teams, including data engineers, software developers, and domain experts. This collaboration ensures that research insights are effectively translated into scalable solutions and integrated into products or services. Researchers often participate in brainstorming sessions, code reviews, and joint publications, fostering a culture of innovation and shared knowledge. These interactions not only drive the success of projects but also provide valuable learning experiences and networking opportunities.

What does a Senior Machine Learning Researcher do?

A Senior Machine Learning Researcher leads the development and application of advanced machine learning models to solve complex problems. They are responsible for designing experiments, analyzing large datasets, publishing research findings, and collaborating with engineering teams to implement solutions. Additionally, they mentor junior researchers, stay updated with the latest advancements in AI, and often contribute to setting the research agenda for their organization.

What is the difference between Senior Machine Learning Researcher vs Data Scientist?

AspectSenior Machine Learning ResearcherData Scientist
CredentialsAdvanced degrees in CS, ML, or related fieldsDegree in CS, statistics, or related fields; certifications optional
Work EnvironmentResearch labs, R&D teams, academiaBusiness analytics, product teams, startups
Industry UsageResearch-focused roles in tech, academia, R&DData analysis, business insights, product development
Search & Comparison IntentUnderstanding research vs applied roles in MLExploring data analysis careers and skills

While both roles involve working with data and machine learning, a Senior Machine Learning Researcher primarily focuses on developing new algorithms and advancing ML theory in research settings. In contrast, a Data Scientist applies existing models to analyze data, generate insights, and support business decisions. The roles differ mainly in their focus—research innovation versus practical application—though they share overlapping skills and credentials.

What are popular job titles related to Senior Machine Learning Researcher jobs in Wisconsin? For Senior Machine Learning Researcher jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Researcher jobs in Wisconsin look for? The top searched job categories for Senior Machine Learning Researcher jobs in Wisconsin are:
What cities in Wisconsin are hiring for Senior Machine Learning Researcher jobs? Cities in Wisconsin with the most Senior Machine Learning Researcher job openings:
Senior Machine Learning Researcher jobs near you
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Kenosha, WI

Other

Posted 7 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply